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Zanda - Senior Devops Engineer

[email protected]

Location: Jersey City, New Jersey, USA

Relocation:

Visa: USC

Zanda Senior Devops Engineer 614-992-8709 [email protected] Jersey City, NJ USC Linked In : linkedin.com/in/zanda-hermansone-a32324261 Professional Summary: Experience working in Agile Scrum Software Development Life Cycle (SDLC) with respect to delivering Operations, Functional and Technical Specifications, Resource Planning, Development, Testing, and Maintenance. Wrote Ansible playbooks to manage configurations and automate installation process. Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change. Managing the configurations of multiple servers using Ansible & Chef. Managed environments DEV, QA, UAT and PROD for various releases and designed instance strategies. Good knowledge about CI/CD. Managed Multi Flavour of Linux and Windows virtual servers with Ansible & Chef using Git. Extensively worked on Cloud Bees, Jenkins and Team City for continuous integration (CI) and for End-to-End automation for all build and deployments. Performed Automation and Scaling of applications using Kubernetes. Experience with Ansible Tower to manage Multiple Nodes and Manage Inventory for different Environments. Used Ansible to orchestrate software updates and verify functionality. Terraforming and Cloudformation to code all infrastructures into Azure, AWS and GCP. Organized different infrastructure resources like physical machines, VMs and even containers using Terraform. Worked on Terra form to set up the AWS infrastructures such as launching theEC2 instances, S3buckets, VPC, Subnets, and created the module driven AWS Infrastructure with Terraform Used GIT as Version Control System for two applications. Managed development streams and Integration streams. Used AWS Bean Stalk for deploying and scaling web applications and services developed with Java, Node.js, Python and Ruby on familiar servers such as Apache, and IIS. Worked on Docker container snapshots, attaching to a running container, removing images, managing directory structures and managing containers. Experience working on several Docker components like Docker Engine, Hub, Machine, Compose and Docker Registry. Experience working on docker hub, creating docker images and handling multiple images primarily for middleware installations and domain configurations. Used Docker for configuration management automation Setup Elastic Load Balancer for distributing traffic among multiple Web Logic servers and involved in deploying the content cloud platform on Amazon Web Services using EC2, S3 and EBS. Creating the AWS Security groups to enable firewall. Automated AWS volumes snapshot backups for enterprise using Lambda. Created functions and assigned roles in AWS Lambda to run python scripts. Administration and maintenance of Docker runtime environment, Versioning and lifecycle management of Docker images, Experienced in Docker orchestration framework. Automated Compute Engine and Docker Image Builds with Jenkins and Kubernetes. Having good implementation experience with installation and configuration of Kubernetes, clustering them and managed local deployments in Kubernetes. Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from development through production, easing the code development and deployment pipeline by implementing Docker containerization. Focused on containerization and immutable infrastructure. Docker has been core to this experience, along with Kubernetes, Docker Compose, AWS ECS Azure EKS & Mesos. Integrated Kubernetes with network, storage, and security to provide comprehensive infrastructure and orchestrated container across multiple hosts. Created Docker images using a Docker file. Worked on Docker container snapshots, removing images and managing Docker volumes and experienced with Docker container service. Ansible playbooks to manage configurations and automate installation process. Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change. Managing the configurations of multiple servers using Ansible. Managed Artifactory repository for the current project created a new repository and provisioned it. Shell scripts & Python script to automatically restart the u Deploy agents on LINUX machines Performed Automation and Scaling of applications using Kubernetes. EDUCATION DETAIL : Bachelor of Business Administration - Computer/Information Technology Administration and Management in 2015- Baruch College TECHINICAL SKILL SET: Operating Systems Unix/Linux(RedHat, 5/6,CentoOs, SUSE), Ubuntu 14,Windows 2008 server Versioning Tools GIT, GitHub, GitLab Configuration Management Chef, Puppet, Ansible, Terraform, AWS Ops Works AWS Cloud Tools AWS Administrator, EC2, VPC, EBS, S3, AMI, SQS, SNS, RDS, Cloud Watch, Dynamo DB, IAM Languages Python, SQL, HTML, CI tools Jenkins, AWS Code Build and Deploy Scripting MAVEN, Shell, Groovy, Yaml Web Technologies Servlets, JDBC, JSP, HTML, Java Script, XML. Web Servers Apache Tomcat, JBOSS. RDBMS Oracle, MY SQL, SQL server. PROFESSIONAL EXPERIENCE: Client: Quest Diagnostics, NJ November 2021 - Till Date Role: Senior DevOps Engineer Responsibilities: Creating Amazon EC2 instances using command line CLI and troubleshoot the most common problems with instances and monitor the health of Amazon EC2 instances and other AWS services. Involved in supporting cloud instances running Linux and Windows on AWS Administrator, experience with Elastic IP, Security Groups and Virtual Private Cloud in AWS Administrator. Extensive experience on configuring Amazon EC2, Amazon S3, Amazon Elastic Load Balancing IAM and Security Groups in Public and Private Subnets in VPC and other services in the AWS Maintaining and developing Docker images for a tech stack including Cassandra, Kafka, Apache and several in house written in both OpenStack and AWS cloud on Kubernetes. Used Docker and Kubernetes to manage micro services deployment. Used Kubernetes to create Pods, Config Maps and deployments into the cluster. Hands on experience on Kubernetes to automate the deployment, scaling and operations of application containers across clusters of hosts. Create a custom image of an Azure VM with Azure PowerShell and create a VM scale set and deploy a high available app on Windows with Azure PowerShell. Experience in load balance Windows VM in Azure to create high available application with Azure PowerShell and manage Azure Virtual Network for Windows VM with Azure PowerShell. Experience in Backup and restore files for Windows VM in Azure cloud. Managed network security using Load balancer, Auto-scaling, Security groups and NACL. Utilized AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups. Deploy application code using CI/CD pipeline with Azure DevOps in Azure cloud, scale VM build automation using Azure DevOps in Azure VM agent plug-ins. Virtualized the servers using Docker for the test environments and dev-environments needs, also configuration automation using Docker containers. Experience in creating Docker Containers leveraging existing Linux Containers and AMI's in addition to creating Docker Containers from scratch on both Linux and Windows servers. Worked with AWS Cloud Formation Yaml and Terraform modules and deployed EKS Clusters. Creating BuildSpec and DeploySpecs jobs and CICD on AWS Code Build and Code Deploy. Extensively worked on Jenkins CI/CD pipeline jobs for end-to-end automation to build, test and deliver artifacts and troubleshoot the build issue during the Jenkins build process. Managing Jenkins artifacts in Artifactory and versioning the artifacts with time stamp, Deploying artifacts into EC2 s in AWS cloud with ansible and Jenkins. Created continuous integration system using Ant, Jenkins, Pupspet full automation, Continuous Integration, faster and flawless deployments. Installed and administered GIT source code tool and ensured the reliability of the application as well as designed the branching strategies for GIT. Deployed and configured Git repositories with branching, forks, tagging, merge requests, and notifications. Experience on working with on-premises network, application, server monitoring tools like ELK, Splunk, and on AWS with CloudWatch monitoring tool. Experienced in working on Scripting languages Python, Ruby, Shell, Bah. Experience installing, upgrading, and configuring RedHat Linux 6.x, 7.x, using Kickstart Servers and Interactive Installation. Managed systems routine backup, scheduling jobs, enabling cron jobs, enabling System logging and network logging of servers for maintenance. Experienced working with Logical Volume Manager ( LVM ) in creating physical volumes, volume groups and logical volumes, extending and resizing the volume groups Environment: Terraform, AWS,S3, EBS, Elastic Load balancer (ELB), Auto Scaling groups, VPC,IAM, Cloud Watch, Glacier, DynamoDB, OpenStack, shell/Python scripts, GIT, Jenkins, Maven, Nexus, Ansible, Docker, Kubernetes, JIRA, Splunk, Nagios, Python, Nginx, Tomcat, Windows and Linux environment, VMware ESX/ESXI Server and Workstation. Client: Elsevier, NY June 2020 to November 2021 Role: Senior DevOps Engineer Responsibilities: Created AWS Launch configurations based on customized AMI and use this launch configuration to configure auto scaling groups and Implemented AWS solutions using EC2, S3, RDS, DynamoDb, Route53, EBS, Elastic Load Balancer, Auto scaling groups. Involved in reviewing and assessing current infrastructure to be migrated to the AWS cloud platform. Configured AWS IAM and Security Group in Public and Private Subnets in VPC. Worked with IAM service creating new IAM users & groups, defining roles and policies and Identity providers like OKTA and Ping. Automated Compute Engine and Docker Image Builds with Jenkins and Kubernetes. Having good implementation experience with installation and configuration of Kubernetes, clustering them and managed local deployments in Kubernetes. Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from development through production, easing the code development and deployment pipeline by implementing Docker containerization. Focused on containerization and immutable infrastructure. Docker has been core to this experience, along with AWS ECS and Kubernetes. Integrated Kubernetes with network, storage, and security to provide comprehensive infrastructure and orchestrated container across multiple hosts. Created AWS Route53 to route traffic between different region. Involved in reviewing and assessing current infrastructure to be migrated to the AWS cloud platform. Responsible to maintain the networking form cloud back to On-Prem connectivity and no direct internet access from cloud VPC to the Internet. Used AWS Elastic Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, and IIS. Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates. Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our SIT, UAT, Prod and DR environments. Experience in Setting up the build and deployment automation for Terraform modules using Jenkins. Provisioned the highly available AWS Stacks using Terraform and Cloud Formation. Involved in using Terraform to migrate legacy and monolithic systems to AWS Cloud Native services. Extensive experience in using CICD Automation tools like Maven, Artifactory and Jenkins. Installation & Configuration of Apache WebServer using Ansible playbooks. Worked on deployment automation of all the microservices to pull image from the private Docker registry and deploy to swarm cluster. Hands-on experience in diagnosing, troubleshooting various networking, hardware & Linux / UNIX server services issues and performing preventive maintenance. Perform software installations and upgrades to Linux systems and maintaining them in accordance with established policies, procedures and service level Client: Interas Labs May 2015 May 2020 Role: Cloud Engineer / DevOps Engineer Responsibilities: Responsible for maintaining Linux servers (RHEL, Ubuntu and Amazon) as well as ensuring the health and stability of the server using AWS CloudWatch. This included trouble shooting possible package/library conflicts using various OS, server, and application logs to pinpoint the problem in order for it to be corrected. Experience in designing and deploying AWS Solutions using EC2, S3, EBS, Elastic Load balancer (ELB), auto-scaling groups and OpsWorks. Worked at optimizing volumes and EC2 instances and created multiple VPC instances. Experience working with IAM in order to create new accounts, roles and groups. Experience in creating alarms and notifications for EC2 instances using Cloud Watch. Experience involving configuring S3 versioning and lifecycle policies to and backup files and archive files in glacier. Creating AWS Lambda function to automate snapshot back up on AWS and set up the scheduled backup. Used Chef to configure and manage infrastructure. Wrote cookbooks and recipes to automate the configuration setups. Used Build Tool Gradle for setup of Build Jobs in Jenkins. Managed Ubuntu Linux and Windows virtual servers on AWSEC2 Developed build and deployment script using Python and Shell scripting. Troubleshoot the automation of Installing and configuring applications in the test environments. Created and maintained the Shell/Ruby deployment scripts for tomcat and UNIX servers. Supported 50+ AWS Cloud instance's and also familiar with Amazon Cloud command line management. Keywords: continuous integration continuous deployment quality analyst javascript sthree database information technology New Jersey New York